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. Desirable Expertise in computational fluid mechanics, broadly construed. Expertise in Bayesian methodology for optimization and experiment design. Experience with equivariant neural networks. Track record
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, 2022) and extended this to the triple equivalence between neural dynamics, Bayesian inference, and algorithmic computation (Commun Phys, 2025). -We validated it within in vitro neural networks (Nature
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current and future disease risk and burden across multiple pathogens with environment- and climate-sensitivity. Your Tasks: Building a diverse set of models for short-term predictions and the long-term
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current and future disease risk and burden across multiple pathogens with environment- and climate-sensitivity. Your tasks: Building a diverse set of models for short-term predictions and the long-term
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university. What you’ll do: Undertake research in ice sheet science, publishing findings in international peer-reviewed journals, and assist in student supervision. Combine multiple satellite and field
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the Netherlands’ national bird, the black-tailed godwit. Join our team! We seek a quantitative, ecology-minded PhD candidate to expand our state-of-the-art Bayesian Integrated Population Model (IPM
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. Perform fluorescent image processing, quality control, and cell segmentation using multiple approaches: identify appropriate single cell segmentation approaches for each tissue type and apply them
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there are innumerable examples of its application, one important observation is the low proportion of studies proposing the estimation of uncertainties (<5%). Yet uncertainties can be multiple and of different natures
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develop cutting-edge differential privacy techniques for large-scale models across multiple institutions. This position offers a unique opportunity to work with the world's first exascale system
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their research, and several of the university's research institutes are located across multiple campuses. The Academic Plan envisions that all members of the Northeastern community will have a 'passport' to the